Our AI & Machine Learning Courses Duration And Fees

AI & Machine Learning Courses typically range from a few weeks to several months, with fees varying based on program and institution.

Program NameDurationFees
Caltech Post Graduate Program In AI And Machine Learning

Cohort Starts: 2 Jan, 2024

11 Months$ 3,990
Post Graduate Program in AI and Machine Learning

Cohort Starts: 8 Jan, 2024

11 Months$ 2,990
AI for Decision Making: Business Strategies and Applications

Cohort Starts: 10 Jan, 2024

3 Months$ 1,990
Artificial Intelligence Engineer11 Months$ 1,490

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AI & Machine Learning Courses Advisors

  • Benjamin Carrion Schaefer

    Benjamin Carrion Schaefer

    Associate Professor at the University of Texas at Dallas

    Prof. Benjamin Carrion Schaefer is an Associate Professor in the Department of Electrical and Computer Engineering at UT Dallas. He has experience in computer architecture, digital design, embedded systems, and reconfigurable computing and has published 120+ peer-reviewed publications.

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  • Dinesh Bhatia

    Dinesh Bhatia

    Professor and Department Head at The University of Texas at Dallas

    Prof. Dinesh Bhatia is the Department Head of the Department of Electrical and Computer Engineering at UT Dallas. Throughout his career, he has engaged in research across various domains, including high-performance computing, healthcare and medical devices, and power and energy systems.

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  • Kanad Basu

    Kanad Basu

    Associate Professor at the University of Texas at Dallas

    Kanad Basu is an Assistant Professor of Electrical and Computer Engineering at UT Dallas. He earned his Ph.D. and MS degrees from the University of Florida. His interests encompass Hardware Security, Cybersecurity, Computer Architecture, VLSI systems, Cybersecurity, and Machine Learning.

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  • Kartik Hosanagar

    Kartik Hosanagar

    Professor of Operations, Information and Decisions, The Wharton School

    Kartik Hosanagar is a professor at the Wharton School of the University of Pennsylvania. Professor Hosanagar's research work focuses on the digital economy, in particular internet media, internet marketing, and e-commerce.

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  • Matthew Bidwell

    Matthew Bidwell

    Associate Professor of Management, The Wharton School

    Matthew Bidwell's research examines new patterns in work and employment, focusing in particular on the causes and effects of more short-term, market-oriented employment relationships. Professor Bidwell holds a Ph.D. from the MIT Sloan School, an S.M. in Political Science from MIT

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  • Michael R. Roberts

    Michael R. Roberts

    Professor of Finance, The Wharton School

    Michael R. Roberts is the William H. Lawrence Professor of Finance at the Wharton School of the University of Pennsylvania. Professor Roberts earned his BA in Economics from the University of California at San Diego and Ph.D. in Economics from the University of California at Berkeley.

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  • Peter Cappelli

    Peter Cappelli

    Professor of Management, The Wharton School

    Peter Cappelli is the George W. Taylor Professor of Management at The Wharton School and Director of Wharton’s Center for Human Resources. He is also a Research Associate at the National Bureau of Economic Research in Cambridge, MA, served as Senior Advisor to the Kingdom of Bahrain.

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  • Rick Hefner

    Rick Hefner

    Caltech CTME, Program Director

    Dr. Rick Hefner serves as the Program Director for Caltech’s CTME, where he develops customized training programs for technology-driven organizations. He has over 40 years of experience in systems development and has served in academic, industrial, and research positions. 

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  • Venkata N Inukollu

    Venkata N Inukollu

    Assistant Professor, Purdue University

    Venkata N Inukollu earned his Ph.D. in Computer Science from Texas Tech University. He received his Master’s degree in Software Systems from BITS - Pilani, India. He has interests in software engineering and testing in AI and machine learning.

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AI & Machine Learning Learner's Reviews

  • Marco Chan Siu Chung

    Marco Chan Siu Chung

    VP of Technology

    My learning experience was outstanding. The instructors were industry experts. My favorite feature about the course is the blended learning approach, where one can engage in live classes with the convenience of learning at his own pace. The course curriculum is very well designed and delivered.

  • Alison Rezabek

    Alison Rezabek

    Senior Client Lead

    The training allowed me to increase my knowledge and acquire new projects. I learned new facts about the subject and broadened my expertise by receiving more information throughout the training, which helped me become more productive at work and improve my work performance.

  • Eduardo Marquis

    Eduardo Marquis

    Management Analyst

    This course has been instrumental in highlighting various use cases that would allow organizations to benefit by leveraging AI and ML to model their HR and Financial business processes.

  • Hans Friedhoff

    Hans Friedhoff

    Senior Manager, Digital Communications

    After completing the bootcamp, I transitioned to a Machine Learning Engineer within my organization. I was also able to obtain an 18% salary increase.

  • Fritz Canon

    Fritz Canon

    Project Manager Business Development

    My overall experience with Simplilearn was extremely positive and enriching. One aspect that stood out to me was the comprehensive curriculum offered by Simplilearn. The course content was well-structured and covered all the essential topics related to my chosen field of study.

  • Tony Vigna

    Tony Vigna

    The overall experience was outstanding. Since I am a working professional, I enjoy a flexible schedule. The classes were on weekends and did not collide with the working hours. So, it was conducive. The best part is that they take feedback regularly and work on it to improve the learning experience for the students.

  • Anthony Palomba

    Anthony Palomba

    Simplilearn’s course turned out to be the best decision of my life. I joined a marketing firm as a consultant and a permanent position at my university with a 35% salary increment. Moreover, I can execute my knowledge in my teaching and research.

  • DeAngelo Kelly

    DeAngelo Kelly

    Artificial Intelligence Engineer

    After completing this course, I was considered for new AI projects at my company, and my salary increased by 39%. Simplilearn's flexible learning method helped me manage my job simultaneously while studying.

  • Byron Bo Jones

    Byron Bo Jones

    Transformation Project Engineer

    I am thrilled to share that I have completed Postgraduate Program in Artificial Intelligence and Machine Learning from Purdue University in collaboration with IBM and Simplilearn. I look forward to career advancement and participation in solving industry-aligned Artificial Intelligence and Machine Learning problems.

  • Carlson Ituka

    Carlson Ituka

    Regional Manager( Northeast)

    My overall learning experience was very enriching. This program helped me gain knowledge in data science and I am now looking forward to grabbing a role in the IT sector. The course content was elaborate and the instructors were very knowledgeable and ready to help.

  • Chris Hayes

    Chris Hayes

    I was able to keep up and comprehend all the courses presented and learned a bunch about programming in Python along the way. I'm looking forward to having the opportunity to work in the field and learning yet more!

  • Mark Hayes

    Mark Hayes

    I had a great learning experience, overall. The course content met the quality standards and the instructors were highly knowledgeable. The live classes were engaging,too. After the course completion, I am now working as a consultant.

  • Ting L.

    Ting L.

    Expense Report App Developer at Django

    Simplilearn's AI program is not only easy to follow but the materials are organized. Even a beginner like me was able to grasp the concept and practice with real-world projects. I have grown my portfolio quite a bit since I joined Simplilearn. Their affordable fees was also a big bonus for me too.

  • Byju Govindan

    Byju Govindan

    The classes are excellent with fantastic engagement, content delivery, and teaching style. The trainer is well prepared, very organized, and uses the best technology.

  • Kiet Nguyen

    Kiet Nguyen

    After the completion of the course, I will be able to kickstart my career with the skills I am learning from this course. I am enjoying the hands-on experience with practice labs during the course. They are crucial for people like me with no experience. I found the instructors immensely knowledgeable and willing to help students.

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Industry Projects

  • Project 1

    Ecommerce

    Develop a shopping app for an e-commerce company using Python.

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  • Project 2

    Food Service

    Use data science techniques, like time series forecasting, to help a data analytics company forecast demand for different restaurant items.

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  • Project 3

    Retail

    Use exploratory data analysis and statistical techniques to understand the factors contributing to a retail firm's customer acquisition.

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  • Project 4

    Production

    To understand their overall quality and sustainability, perform a feature analysis of water bottles using EDA and statistical techniques.

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  • Project 5

    Real Estate

    Use feature engineering to identify the top factors that influence price negotiations in the homebuying process.

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  • Project 6

    Entertainment

    Perform cluster analysis to create a recommended playlist of songs for users based on their user behavior.

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  • Project 7

    Human Resources

    Build a machine learning model that predicts employee attrition rate at a company by identifying patterns in their work habits and desire to stay with the company.

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  • Project 8

    Shipping

    Use deep learning tools, such as CNN, to automate a system that detects and prevents faulty situations resulting from human error.

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  • Project 9

    BFSI

    Use deep learning to construct a model that predicts potential loan defaulters and ensures secure and trustworthy lending opportunities for a financial institution.

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  • Project 10

    Healthcare

    Use distributed training to construct a CNN model capable of detecting diabetic retinopathy and deploy it using TensorFlow Serving for an accurate diagnosis.

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  • Project 11

    Healthcare

    Leverage deep learning algorithms to develop a facial recognition feature that helps diagnose patients for genetic disorders and their variations.

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  • Project 12

    Automobile

    Examine accident data involving Tesla’s auto-pilot feature to assess the correlation between road safety and the use of auto-pilot technology.

    View Program
  • Project 13

    Tourism

    Use AI to categorize images of historical structures and conduct EDA to build a recommendation engine that improves marketing initiatives for historic locations.

    View Program
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Know more about AI & Machine Learning

A Brief Overview Of AI And Machine Learning Courses

Courses focusing on artificial intelligence (AI) are the programs that help you learn about the entire AI environment. Such Ai and Ml courses are basically outlined at developed and novice levels and may be pursued at the student's convenience and against a particular enrolment cost. While not all the courses require you to learn Python, C++, or MATLAB, having some familiarity and background with these programming languages is worthwhile.

The Motive Of AI And Machine Learning Courses

Due to the increased need for professionals with AI and machine learning skills, acquiring a certification in such domains might help open new doors for you. These Ai and Machine learning courses will sharpen your analytical thoughts, conceptualising techniques, and ability to analyze data. You will have all the intelligence and proficiency you need to succeed in this fast-paced industry if you have an AI and machine learning certification. 

The Ever-Expanding Global Need For Artificial Intelligence and Machine Learning Courses

Given the growing complexity of the world's stats, AI and machine learning courses can ensure that ambitious professionals get prepared and qualified appropriately with the ability to confront issues in real life. Students may create a composite set of instructions for forecast models, deep neural networks, and other applications with AI and machine learning. 

Moreover, such abilities may also lead to new possibilities in fields like marketing, real estate, banking, healthcare, and more that need a thorough grasp of AI and machine learning programs. Thus, if you need to keep one step ahead of the game this year, consider enrolling in AI and ml courses.

The Courses Available On Simplilearn For AI And Machine Learning Explore Various Domains

Programming, NPL, maths, coding, and CS, along with other areas, are all included in artificial intelligence. The programs on AI will go over noteworthy domains like;

  • Machine Learning (ML) -  As a domain of Artificial intelligence, Machine learning allows computers to autonomously acquire knowledge through data while recognizing trends to develop forecasts with minimum human involvement.

  • Deep Learning - Deep learning acts exactly how specific knowledge is acquired by humans. It is possible to train deep learning models to classify data and find patterns in images, text, auditory, and other data.

  • Predictive Analysis - Predictive analytics, a subdivision of artificial intelligence, is a demographic-based technique utilized by data analysts to create inferences and test data to anticipate the chance of a specific forthcoming result.

  • Cloud Computing - AI cloud computing is integrated directly into the composition to automate repetitive tasks and organize work responsibilities. Private and non-private backend platforms may be observed, controlled, and self-repaired using AI techniques in a multi-cloud system.

  • Data management - Artificial intelligence is efficient enough to create records and automate inquiries via different data storage. Thus, by analyzing and developing real-time data, AI enhances cloud task loads like client relations, marketing, business planning software, and business logistics management. 

The Benefits Of Enrolling In Courses Like AI And Machine Learning

A simple and flexible approach to advancing your understanding of artificial intelligence or developing new abilities is to enroll in online courses. Check out the advantages of seeking a profession in artificial intelligence;

Machine Learning Is The Ultimate Future Skill 

Machine learning is expanding aggressively, yet there are not enough experts in the industry. A career in machine learning will be secure for you if you can match the expectations of big businesses by becoming an expert in the field.

Develop Yourself Via Learning 

Since AI and machine learning are in high demand, getting into the industry earlier will allow you to have hands-on experience with the latest trends and maintain an elevated level of marketability that will increase your worth to the company.

Become More Adept At Solving Problems In Programmes

Your ability to solve problems methodically will improve by taking AI & machine learning courses. You will discover approaching and resolving complicated issues systematically with such programs.

Create A Successful And Rewarding Profession 

The main reason AI & machine learning appears like rewarding job to many of you is the average income of a person in this career, which might go higher as time goes on, given the industry's growth.

The Advantages Of Selecting Simplilearn For AI and Machine Learning Course

Courses like ai & machine learning offered by the online learning platform Simplilearn provide in-depth topic expertise. Additionally, it gives several immeasurable benefits, including;

  • Engaging conversations in real time

  • Discover ChatGPT, OpenAI, and more well-known technologies.

  • Specialized hackathons 

  • IBM's Q&A sessions

  • Experts in the field provide live online master courses

  • Certificate of Completion of the Programme

  • Top recruiting organizations will take notice of you, thanks to JobAssist.

  • Experiential, practical learning

The Cost, Duration, And Eligibility Criteria For Simplilearn's AI And Machine Learning Courses

There are considerable employment possibilities for students willing to enroll in online courses like ai & machine learning by Simplilearn at affordable fee structures. You must acknowledge the simple requirements, cost-effective fees, and durations for such programs.

Course Name

Duration

Course Fee

Eligibility Requirements

Artificial Intelligence for Decision Making: Business Applications And Strategies

3 months

INR 1,35,000

  • Ideal for senior managers, consultants, and members of the C-level

  • It is not necessary to have any prior knowledge of coding or technology

  • A desire to use AI to address actual business issues

Professional Certificate In Artificial Intelligence And Machine Learning

11 months

INR 1,53,400

  • A bachelor's degree with average grades of at least 50%

  • 2+ years of experience in the workplace

  • Previous understanding or expertise in arithmetic and programming

PG Program In Artificial Intelligence And Machine Learning

11 months

INR 1,49,999

  • Preferably 2+ years of career experience

  • an undergraduate degree with a minimum average of 50%

  • Fundamental knowledge of arithmetic and programming principles

Engineer In Artificial Intelligence Under Master's Course

11 months

INR 54000

Not Available

A Once-In-A-Lifetime Chance To Acquire Certificates From Internationally Established Universities

You have no better reason than to obtain certificates from the International University Of Applied Science, IBM, IIT Kanpur, MIT, Wharton University of Pennsylvania, Purdue University, and Simplilearn upon acquiring ai and ml courses. These certifications will authenticate your expertise in artificial intelligence & machine learning and allow you to hold a prominent position in reference to job prospects.

Possibilities For Employment And Earnings After Completing AI And Machine Learning Courses

If you sign up for AI & machine learning courses with the Simplilearn platform, you will gain access to a wide range of employment prospects. Take a look at some lucrative career paths and the incomes that go with them;

Career Path

Average Annual Pay

Big Data Analyst

$80,105 per year 

User Experience (UX) Designer/Developer

$86,626 per year

Researcher

$77756 per year

Software Engineer

$1,39,705 per year

Business Intelligence (BI) Developer

$1,09,726 per year

Data Mining and Analysis

$1,14,727 per year

Research Scientist

$1,59,206 per year

Robotics Engineer

$1,05,773 per year

Big Data Engineer/Architect

$1,17,973 per year

Computer Vision Engineer

$132,830 per year

AI & Machine Learning Courses FAQs

  • What are AI and Machine Learning?

    Artificial intelligence (AI) refers to the development of computer systems that mimic a human brain and enable them to perform tasks that usually require human intelligence.


    Machine learning is a specific form of AI that allows computers to learn and grow after they are introduced to scenarios in the form of data. Both of these areas offer promising career opportunities.

  • Which is the best foundation programs in AI and Machine Learning for beginners?

    Here is the best foundation program in AI and Machine Learning for beginners:

  • Which are the best programs in AI and Machine Learning for intermediates?

    Here are some of the best AI and Machine Learning programs for intermediates:

  • Which are the advanced programs in AI and Machine Learning?

    Here are some of the best advanced-level programs in AI and Machine Learning:

  • What is the current state of the AI and Machine Learning job market?

    The AI job market is thriving and is estimated to hit $191 billion by 2024 globally. The growth of Artificial Intelligence could create 58 million jobs across multiple industry sectors in the next few years, according to a report by the World Economic Forum. AI is already being used in several markets and it makes sense to upskill and embark on a career in AI. 

  • What are the top job titles in the field of AI and Machine Learning?

    Some of the most popular job roles in the field of AI and Machine Learning include: 

    • Machine Learning Engineer
    • Deep Learning Engineer
    • NLP Engineer
    • Artificial Intelligence Engineer
    • AI Architect
    • Technical Product Manager
    • Data Scientist 

  • What is the average salary of AI and Machine Learning professionals?

    Machine Learning Engineers have lucrative salary prospects globally, earning an average of $114,000 in the United States. With experience and in-depth knowledge, Machine Learning Engineers can earn as high as $150,000 per year. 

  • Which are the top industries suitable for AI and Machine Learning professionals?

    Industrial sectors such as information technology, FinTech, healthcare, BFSI, and ecommerce are best suited for AI professionals.

  • Which are the top hiring companies for AI and Machine Learning professionals?

    Professionals skilled in AI and Machine Learning are highly sought after in a wide spectrum of companies, along with tech giants like Google, Accenture, IBM, Amazon, and Microsoft. 

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  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.